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DBMS > IBM Cloudant vs. Spark SQL vs. TDengine vs. YottaDB

System Properties Comparison IBM Cloudant vs. Spark SQL vs. TDengine vs. YottaDB

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Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonSpark SQL  Xexclude from comparisonTDengine  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processingTime Series DBMS and big data platformA fast and solid embedded Key-value store
Primary database modelDocument storeRelational DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#104  Overall
#19  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.ibm.com/­products/­cloudantspark.apache.org/­sqlgithub.com/­taosdata/­TDengine
tdengine.com
yottadb.com
Technical documentationcloud.ibm.com/­docs/­Cloudantspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tdengine.comyottadb.com/­resources/­documentation
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Apache Software FoundationTDEngine, previously Taos DataYottaDB, LLC
Initial release2010201420192001
Current release3.5.0 ( 2.13), September 20233.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoAGPL V3, also commercial editions availableOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangScalaCC
Server operating systemshostedLinux
OS X
Windows
Linux
Windows
Docker
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesnonono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsStandard SQL with extensions for time-series applicationsby using the Octo plugin
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
JDBC
RESTful HTTP API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
Java
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptnono
Triggersyesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possiblenooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per databasenoyesUsers and groups based on OS-security mechanisms
More information provided by the system vendor
IBM CloudantSpark SQLTDengineYottaDB
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
IBM CloudantSpark SQLTDengineYottaDB
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